data_source stringclasses 1
value | agent_name stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|---|
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1971"
],
"style": "rule"
} | {
"answer": [
"1971"
],
"id": "wikisql-62762",
"question": "From the album Tír na nÓg, what date is the label Chrysalis, Island Records?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1992"
],
"style": "rule"
} | {
"answer": [
"1992"
],
"id": "wikisql-62763",
"question": "What date was the format of the ed remaster cd under Tír na nÓg (album)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United Kingdom"
],
"style": "rule"
} | {
"answer": [
"United Kingdom"
],
"id": "wikisql-62764",
"question": "The catalog of ilps 9153 under tír na nÓg (album) is from which region?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chrysalis, Island"
],
"style": "rule"
} | {
"answer": [
"Chrysalis, Island"
],
"id": "wikisql-62765",
"question": "Which label of Tír na nÓg (album) is from the region of Spain?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Season Three"
],
"style": "rule"
} | {
"answer": [
"Season Three"
],
"id": "wikisql-62770",
"question": "Which season of Ben 10: Alien Force has more than 5 episodes each 159 minutes long?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ben 10: Alien Force Volume 5"
],
"style": "rule"
} | {
"answer": [
"Ben 10: Alien Force Volume 5"
],
"id": "wikisql-62773",
"question": "Which title was released on November 17, 2009 in a 16:9 aspect ratio among the episodes of List of Ben 10: Alien Force?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16:9"
],
"style": "rule"
} | {
"answer": [
"16:9"
],
"id": "wikisql-62774",
"question": "In what list of Ben 10: Alien Force episodes is the aspect ratio for the September 1, 2009 release?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Winner"
],
"style": "rule"
} | {
"answer": [
"Winner"
],
"id": "wikisql-62787",
"question": "What is the outcome of the match with opponent Jade Curtis under Sarah Borwell?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Runner–up"
],
"style": "rule"
} | {
"answer": [
"Runner–up"
],
"id": "wikisql-62788",
"question": "What is the result of the match played by Sarah Borwell on the carpet surface?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Frinton"
],
"style": "rule"
} | {
"answer": [
"Frinton"
],
"id": "wikisql-62789",
"question": "What is the name of the tournament with Jade Curtis as Sarah Borwell's opponent?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Private"
],
"style": "rule"
} | {
"answer": [
"Private"
],
"id": "wikisql-62805",
"question": "What Was the Los Angeles, California School Type Like During Barack Obama's Early Life and Career?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1966–1967"
],
"style": "rule"
} | {
"answer": [
"1966–1967"
],
"id": "wikisql-62806",
"question": "What were the dates for Honolulu, Hawaii in Kindergarten under Barack Obama's Early Life and Career?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3:55 a.m."
],
"style": "rule"
} | {
"answer": [
"3:55 a.m."
],
"id": "wikisql-62836",
"question": "When is CDT when EDT is 4:55 am during the June 2010 lunar eclipse?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4:38 a.m."
],
"style": "rule"
} | {
"answer": [
"4:38 a.m."
],
"id": "wikisql-62837",
"question": "What is the PDT time when CDT is 6:38 am at the June 2010 lunar eclipse?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5:17 a.m."
],
"style": "rule"
} | {
"answer": [
"5:17 a.m."
],
"id": "wikisql-62838",
"question": "When is CDT when PDT is 3:17 am when the lunar eclipse occurs in June 2010?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Set"
],
"style": "rule"
} | {
"answer": [
"Set"
],
"id": "wikisql-62839",
"question": "When is MDT when EDT is set and PDT is 6:00 am during the June 2010 lunar eclipse?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rochester Brigade"
],
"style": "rule"
} | {
"answer": [
"Rochester Brigade"
],
"id": "wikisql-62845",
"question": "Who was the Wilkes-Barre/Scranton Pioneers opponent on April 26, 2003 of the 2003 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bye"
],
"style": "rule"
} | {
"answer": [
"Bye"
],
"id": "wikisql-62846",
"question": "What was the result of the 2003 Wilkes-Barre/Scranton Pioneers season in week 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"W 58–35"
],
"style": "rule"
} | {
"answer": [
"W 58–35"
],
"id": "wikisql-62847",
"question": "What was the result of the game that took place on April 26, 2003 during the Wilkes-Barre/Scranton Pioneers 2003 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bye"
],
"style": "rule"
} | {
"answer": [
"Bye"
],
"id": "wikisql-62848",
"question": "What was the outcome of the week that was a bye before week 6 of the 2003 Wilkes-Barre/Scranton Pioneers season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-62849",
"question": "What is the lowest number of districts (kecamatan) in North Sulawesi province with more than 1,510 villages among provinces of Indonesia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1287"
],
"style": "rule"
} | {
"answer": [
"1287"
],
"id": "wikisql-62850",
"question": "From the list of provinces of Indonesia, what is the sum of the number of districts (kecamatan) in the geographical unit Java with more than 4 actualities (kabupaten) and less than 8,577 villages?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25.0"
],
"style": "rule"
} | {
"answer": [
"25.0"
],
"id": "wikisql-62851",
"question": "With more than 331 villages and a 2010 census of 12,982,204 in the provinces of Indonesia, what is the average number of regencies (kabupaten)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-62852",
"question": "What is the lowest number of cities (kota) in the provinces of Indonesia that have less than 65 districts (kecamatan), an area of 16,424 km² and a population of less than 3,890,757 in the 2010 census?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-62853",
"question": "From the list of Indonesian provinces, what is the sum of the number of cities (kota), an area less than 47,799 km², capital Yogyakarta and a density greater than 1,138 in 2010?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-62874",
"question": "What is the total of Money ($) if To Par is \"13\" and if Player is \"Julius Boros\" for 1951 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Smiley Quick"
],
"style": "rule"
} | {
"answer": [
"Smiley Quick"
],
"id": "wikisql-62875",
"question": "What is Player if Money ( $ ) is less than 387 and if Score is \"73-76-74-72=295\" for 1951 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-62876",
"question": "What is the total to par at the 1951 US Open (golf) if money ($) is less than 387 and if player is \"Al Brosch\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T6"
],
"style": "rule"
} | {
"answer": [
"T6"
],
"id": "wikisql-62877",
"question": "What is Place if To Par is less than 15 and if Score is 76-72-75-71=294 for 1951 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lloyd Mangrum"
],
"style": "rule"
} | {
"answer": [
"Lloyd Mangrum"
],
"id": "wikisql-62878",
"question": "At US Open 1951 (Golf), what is Player if Country is United States, Money ($) is greater than 387 and Score is 75-74-74-70=293?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yoshimura"
],
"style": "rule"
} | {
"answer": [
"Yoshimura"
],
"id": "wikisql-62881",
"question": "Which team has had more than 10 wins with a champion by Mat Mladin in the AMA Superbike Champions roster?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Team Muzzy"
],
"style": "rule"
} | {
"answer": [
"Team Muzzy"
],
"id": "wikisql-62882",
"question": "Which team had 2 wins and a season after 1986 in the AMA Superbike Champions list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2 - 2"
],
"style": "rule"
} | {
"answer": [
"2 - 2"
],
"id": "wikisql-62883",
"question": "What was the score for Team 1 of Stade Lavallois (d1) in the 1986–87 Coupe de France?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"RC Strasbourg (D2)"
],
"style": "rule"
} | {
"answer": [
"RC Strasbourg (D2)"
],
"id": "wikisql-62884",
"question": "What was the name of Team 1 of 1986–87 Coupe de France for Team 2 of Toulouse Fc (d1)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"FC Martigues (D2)"
],
"style": "rule"
} | {
"answer": [
"FC Martigues (D2)"
],
"id": "wikisql-62885",
"question": "What was the name of Team 1 where Team 2 was Stade de Reims (d2) among the 1986–87 Coupe de France?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2005"
],
"style": "rule"
} | {
"answer": [
"2005"
],
"id": "wikisql-62901",
"question": "Which year of Evans Rutto takes 4th place?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Marathon"
],
"style": "rule"
} | {
"answer": [
"Marathon"
],
"id": "wikisql-62902",
"question": "Which event under Evans Rutto has a Chicago marathon competition and year greater than 2004?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"London , United Kingdom",
"London , United Kingdom"
],
"style": "rule"
} | {
"answer": [
"London , United Kingdom",
"London , United Kingdom"
],
"id": "wikisql-62903",
"question": "Considering Evans Rutto, what venue has a bigger year than 2003 and a position of 10?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Belfast , Northern Ireland"
],
"style": "rule"
} | {
"answer": [
"Belfast , Northern Ireland"
],
"id": "wikisql-62904",
"question": "Name the venue that takes 5th place under Evans Rutto?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"RCF 5 - Reality Combat Fighting 5"
],
"style": "rule"
} | {
"answer": [
"RCF 5 - Reality Combat Fighting 5"
],
"id": "wikisql-62910",
"question": "In what event is Harry Moskowitz's opponent, Joe Nameth?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2-4"
],
"style": "rule"
} | {
"answer": [
"2-4"
],
"id": "wikisql-62911",
"question": "What is the record when Harry Moskowitz lost to Alex Hunter in Round 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Decision"
],
"style": "rule"
} | {
"answer": [
"Decision"
],
"id": "wikisql-62912",
"question": "What is the method when the opponent is Andre Roberts under Harry Moskowitz?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-62913",
"question": "What is the round if Harry Moskowitz's opponent is Andre Roberts?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-62914",
"question": "What's the round under Harry Moskowitz as the loss came with a record 2-4?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-62915",
"question": "How many rounds was the match between Harry Moskowitz and a decision by submission (punches)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hard"
],
"style": "rule"
} | {
"answer": [
"Hard"
],
"id": "wikisql-62921",
"question": "What is Surface when Patty Fendick is 3-6, 6-3, 6-2 in the final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Australian Open"
],
"style": "rule"
} | {
"answer": [
"Australian Open"
],
"id": "wikisql-62922",
"question": "What about Patty Fendick Championship if result is 'Second' and opponent in final is 'Gigi Fernández Natalia Zvereva'?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Martina Navrátilová Pam Shriver"
],
"style": "rule"
} | {
"answer": [
"Martina Navrátilová Pam Shriver"
],
"id": "wikisql-62923",
"question": "What is the final opponent next to Patty Fendick, when is partner \"Jill Hetherington\" and when is the year after 1988?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hard"
],
"style": "rule"
} | {
"answer": [
"Hard"
],
"id": "wikisql-62924",
"question": "What is Surface as an opponent when Final is \"Gigi Fernández Robin White\" under Patty Fendick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Runner-up",
"Runner-up",
"Winner"
],
"style": "rule"
} | {
"answer": [
"Runner-up",
"Runner-up",
"Winner"
],
"id": "wikisql-62925",
"question": "What is the result for Patty Fendick if the championship is the Australian Open and if the year is before 1994?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1989"
],
"style": "rule"
} | {
"answer": [
"1989"
],
"id": "wikisql-62926",
"question": "What is the sum of years if the championship is Australian Open, if the result is runner-up and if the result in the final is 3-6 6-3 6-2 for Patty Fendick?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"70717"
],
"style": "rule"
} | {
"answer": [
"70717"
],
"id": "wikisql-62927",
"question": "What was the attendance at the game played on December 6, 1998 for the Jacksonville Jaguars?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"September 20, 1998"
],
"style": "rule"
} | {
"answer": [
"September 20, 1998"
],
"id": "wikisql-62928",
"question": "What was the Week 3 date for the Jacksonville Jaguars 1998 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"October 12, 1998"
],
"style": "rule"
} | {
"answer": [
"October 12, 1998"
],
"id": "wikisql-62929",
"question": "What date was the Miami Dolphins opponent for the 1998 season the Jacksonville Jaguars?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-62930",
"question": "What week was Jacksonville Jaguars 1998 Season Farewell Week?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"W 34–17"
],
"style": "rule"
} | {
"answer": [
"W 34–17"
],
"id": "wikisql-62931",
"question": "What was the result of the Jacksonville Jaguars' Game of the Week 13 of the 1998 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2,000km"
],
"style": "rule"
} | {
"answer": [
"2,000km"
],
"id": "wikisql-62932",
"question": "What range (varies by payload weight) for Shahab-4 between Iran and WMD?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1,930km",
"2,000km"
],
"style": "rule"
} | {
"answer": [
"1,930km",
"2,000km"
],
"id": "wikisql-62933",
"question": "What is the range (varies by payload weight) for the unknown player between Iran and WMD?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Unknown"
],
"style": "rule"
} | {
"answer": [
"Unknown"
],
"id": "wikisql-62934",
"question": "What is the payload for class MRBM and a range of 1,930 km in Iran and weapons of mass destruction?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sejil-1"
],
"style": "rule"
} | {
"answer": [
"Sejil-1"
],
"id": "wikisql-62935",
"question": "What is the name/designation for the operational status and a range of 1,930 km between Iran and weapons of mass destruction?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Shahab-4"
],
"style": "rule"
} | {
"answer": [
"Shahab-4"
],
"id": "wikisql-62936",
"question": "Iran and weapons of mass destruction - what is the designation/designation for the development status?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Shahab-2"
],
"style": "rule"
} | {
"answer": [
"Shahab-2"
],
"id": "wikisql-62937",
"question": "What is the designation/designation for the 1200 kg payload for Iran and weapons of mass destruction?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0 / 3"
],
"style": "rule"
} | {
"answer": [
"0 / 3"
],
"id": "wikisql-62959",
"question": "What is the 1989 score that has a 1992 score of 0/1 by Sandra Wasserman?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"SR"
],
"style": "rule"
} | {
"answer": [
"SR"
],
"id": "wikisql-62960",
"question": "Which tournament is 1990 0/4 under Sandra Wasserman for?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1R"
],
"style": "rule"
} | {
"answer": [
"1R"
],
"id": "wikisql-62961",
"question": "What is the 1988 score that has a 1994 score of A and 3r as a 1987 score in Sandra Wasserman?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"A"
],
"style": "rule"
} | {
"answer": [
"A"
],
"id": "wikisql-62963",
"question": "What are the 1994 results with a career SR of 0/3 for Sandra Wasserman?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0 / 1"
],
"style": "rule"
} | {
"answer": [
"0 / 1"
],
"id": "wikisql-62964",
"question": "What was the result of a SR tournament for Sandra Wasserman in 1994?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2010"
],
"style": "rule"
} | {
"answer": [
"2010"
],
"id": "wikisql-62965",
"question": "When was the last year Andrey Krivov took 3rd place?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Berlin, Germany"
],
"style": "rule"
} | {
"answer": [
"Berlin, Germany"
],
"id": "wikisql-62966",
"question": "What was the venue when the result was 17th place under Andrey Krivov?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"none"
],
"style": "rule"
} | {
"answer": [
"none"
],
"id": "wikisql-62979",
"question": "What was the budget in 2007 in the United States when there were more than 115,897 employees and a backlog of 11?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13"
],
"style": "rule"
} | {
"answer": [
"13"
],
"id": "wikisql-62980",
"question": "Overview of the United States, what was the order of succession for the Department of Education?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"439.3"
],
"style": "rule"
} | {
"answer": [
"439.3"
],
"id": "wikisql-62981",
"question": "What was the highest budget in 2007 when the successor order was 3 under the outline of the United States?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19:37"
],
"style": "rule"
} | {
"answer": [
"19:37"
],
"id": "wikisql-62993",
"question": "What is the time (GMT) for the 4A Serial under SM-65A Atlas?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17:39"
],
"style": "rule"
} | {
"answer": [
"17:39"
],
"id": "wikisql-62994",
"question": "What time (GMT) for the 12A serial number of the SM-65A Atlas?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12-5"
],
"style": "rule"
} | {
"answer": [
"12-5"
],
"id": "wikisql-63003",
"question": "What was the record when the TKO (elbow) method was used on Victor Valimaki?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"HBE"
],
"style": "rule"
} | {
"answer": [
"HBE"
],
"id": "wikisql-63004",
"question": "What is IATA if the city is \"Alexandria\" in Wataniya Airways?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Borg El Arab Airport [T]"
],
"style": "rule"
} | {
"answer": [
"Borg El Arab Airport [T]"
],
"id": "wikisql-63005",
"question": "What is the Wataniya Airways airport if the country is \"Egypt\" and if ICAO is \"Heba\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kuwait City"
],
"style": "rule"
} | {
"answer": [
"Kuwait City"
],
"id": "wikisql-63006",
"question": "What is the city of Wataniya Airways if the country is \"Kuwait\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"SSH"
],
"style": "rule"
} | {
"answer": [
"SSH"
],
"id": "wikisql-63007",
"question": "What is IATA if ICAO is \"Hesh\" under Wataniya Airways?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Egypt"
],
"style": "rule"
} | {
"answer": [
"Egypt"
],
"id": "wikisql-63008",
"question": "What is country if ICAO \"Hesh\" is under Wataniya Airways?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Amman"
],
"style": "rule"
} | {
"answer": [
"Amman"
],
"id": "wikisql-63009",
"question": "What is City if IATA is \"amm\" under Wataniya Airways?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2013.0"
],
"style": "rule"
} | {
"answer": [
"2013.0"
],
"id": "wikisql-63025",
"question": "Which year under Kid Rock has a return on March 10, 2013?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Norwegian Cruise Lines"
],
"style": "rule"
} | {
"answer": [
"Norwegian Cruise Lines"
],
"id": "wikisql-63026",
"question": "Which ship under Kid Rock has a year greater than 2013?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2014"
],
"style": "rule"
} | {
"answer": [
"2014"
],
"id": "wikisql-63027",
"question": "When did TDB say goodbye to the Kid Rock songs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"April 11, 2011"
],
"style": "rule"
} | {
"answer": [
"April 11, 2011"
],
"id": "wikisql-63028",
"question": "Which Returned On has a 2011 under Kid Rock?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2010"
],
"style": "rule"
} | {
"answer": [
"2010"
],
"id": "wikisql-63029",
"question": "How many years has Tampa, FL moved away from Kid Rock?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-63030",
"question": "Can you tell me the total number of laps the manufacturer has on Kawasaki and the grid less than 7 in the 2008 British Motorcycling Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18"
],
"style": "rule"
} | {
"answer": [
"18"
],
"id": "wikisql-63031",
"question": "Can you give me the total of the 30 lap grid and the rider of Toni Elias in the 2008 British Motorcycling Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"New York Knicks"
],
"style": "rule"
} | {
"answer": [
"New York Knicks"
],
"id": "wikisql-63034",
"question": "Which former team has a pick greater than 20 in the 1988-89 Charlotte Hornets season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sedric Toney"
],
"style": "rule"
} | {
"answer": [
"Sedric Toney"
],
"id": "wikisql-63035",
"question": "Which player has a pick greater than 20 for the Charlotte Hornets for the 1988-89 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Point Guard"
],
"style": "rule"
} | {
"answer": [
"Point Guard"
],
"id": "wikisql-63036",
"question": "Which position of the 1988-89 Charlotte Hornets has a pick under 14 and a player from Tyrone Bogues?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Centre"
],
"style": "rule"
} | {
"answer": [
"Centre"
],
"id": "wikisql-63037",
"question": "What is the position of a Bernard Thompson player in the Charlotte Hornets 1988-89 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-63038",
"question": "What nationality is a former Denver Nuggets team in the 1988–89 Charlotte Hornets season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dave Hoppen",
"Rickey Green",
"Michael Holton",
"Clinton Wheeler"
],
"style": "rule"
} | {
"answer": [
"Dave Hoppen",
"Rickey Green",
"Michael Holton",
"Clinton Wheeler"
],
"id": "wikisql-63039",
"question": "Which player among the 1988-89 Charlotte Hornets has a pick greater than 2 and a forward position?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Anchorage, Alaska"
],
"style": "rule"
} | {
"answer": [
"Anchorage, Alaska"
],
"id": "wikisql-63090",
"question": "What is the hometown of Devon Bookert, who is a 6-3 basketball player in the Florida State Seminoles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"22000"
],
"style": "rule"
} | {
"answer": [
"22000"
],
"id": "wikisql-63091",
"question": "What is Raymond Floyd's lowest $ at the 1983 Masters tournament?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Raymond Floyd"
],
"style": "rule"
} | {
"answer": [
"Raymond Floyd"
],
"id": "wikisql-63092",
"question": "Which player has a score of 67-72-71-75=285 in the 1983 Masters tournament?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14500"
],
"style": "rule"
} | {
"answer": [
"14500"
],
"id": "wikisql-63093",
"question": "Among the 1983 Masters tournaments, what money is the highest with a to-par of -1 and a score of 73-70-73-71=287?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"–3"
],
"style": "rule"
} | {
"answer": [
"–3"
],
"id": "wikisql-63094",
"question": "Which top par in the 1983 Masters Tournament has a score of 67-72-71-75=285?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"68-70-73-69=280"
],
"style": "rule"
} | {
"answer": [
"68-70-73-69=280"
],
"id": "wikisql-63095",
"question": "What was Spain's score for the 1983 Masters tournament?",
"split": "train"
} |
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